15 citations · 21 across the 7 of their papers we have counts for
5 papers · 1 filter
Unobserved classes and extra variables in high-dimensional discriminant analysis
Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron +1
In supervised classification problems, the test set may contain data points belonging to classes not observed in the learning phase. Moreover, the same units in the test data may b…
Parsimonious Bayesian Factor Analysis for modelling latent structures in spectroscopy data
Alessandro Casa, Tom F. O'Callaghan, Thomas Brendan Murphy
In recent years animal diet has been receiving increased attention, in particular examining the impact of pasture-based feeding strategies on the quality of milk and dairy products…
Model-based clustering for random hypergraphs
Tin Lok James Ng, Thomas Brendan Murphy
A probabilistic model for random hypergraphs is introduced to represent unary, binary and higher order interactions among objects in real-world problems. This model is an extension…
Modelling heterogeneity in Latent Space Models for Multidimensional Networks
Silvia D'Angelo, Marco Alfò, Thomas Brendan Murphy
Multidimensional network data can have different levels of complexity, as nodes may be characterized by heterogeneous individual-specific features, which may vary across the networ…
Mixture of Latent Trait Analyzers for Model-Based Clustering of Categorical Data
Isabella Gollini, Thomas Brendan Murphy
Model-based clustering methods for continuous data are well established and commonly used in a wide range of applications. However, model-based clustering methods for categorical d…